As part of the operation of an Expert System, adeductive component accesses a database of facts to helpsimulate the behavior of a human expert in a particularproblem domain. The nature of this access is examined, andfour access strategies are identified. Features of each ofthese strategies are...

Knowledge bases constitute the core of those Artificial Intelligenceprograms which have come to be known as Expert Systems. Anexamination of the most dominant knowledge representation schemes usedin these systems reveals that a knowledge base can, and possiblyshould, be described at several...

The formulation of complex planning models, such as linearprogramming (LP) systems, is a difficult task that enjoys little supportby current decision support systems tools. It is hypothesized thatcurrent artificial intelligence technology is insufficient to buildgeneralized formulation tools...

Most large systems development efforts proceed in a top-down fashion where initialspecifications and requirements are incorporated into a high-level design, followed byprograms based on this design. However, a major part of the software life-cycle effort isdevoted to maintenance. While several...

Current planning and control procedures for large-scale software projects are not sufficientlyequipped to deal with changing or imprecise requirements, resource breakdowns,unexpected delays, etc. We propose a solution for managing change inprojects, based on a semantic model of the software...